the-application-of-MATLAB-Simulink

实数编码遗传算法求函数极大值，实现求Rosenbrock函数极大值的优化计算的实数编码遗传算法(Real-coded genetic algorithm for maximum function, Rosenbrock function realize maximum value for the optimization calculation of real-coded genetic algorithm)

说明：  实现了图像友RGB空间转换为Luv空间，函数以RGB图像为参数，输出Luv图像(Achieved image Friends of the RGB space is converted to Luv space, function to RGB image as a parameter, the output Luv image)

说明：  本程序主要使用matlab软件实现对人脸识别(The program mainly on face recognition using matlab software)

说明：  使用Matlab生成M序列，自己设置初值及本原多项式，并分析(Matlab generates M sequence)

基于MATLAB环境下偏微分方程组的求解对应的代码 简单明了 便于初学者学习使用(Based on the MATLAB environment to solve partial differential equations corresponding code is simple for beginners to learn to use)

1. 给一段原始的语音信号（可以是自己录制的一段语音），加上一频率为3.8kHz的高频余弦噪声和频率为3.6kHz的高频正弦噪声（幅度自己可以选择），用窗函数设计一滤波器（要求最小阻带衰减为50dB）对加噪后的语音信号进行滤波，画出滤波器的频率响应曲线，画出滤波前后的时域图和频谱图。 需要用到的函数： fir1 用窗函数设计FIR滤波器的函数 2. 用GUI设计一界面（如图1所示）完成如下功能： 1） 输入一语音信号，画出语音信号的时域图和频谱图； 2） 对语音信号加噪处理，画出加噪后的时域图和频谱图； 3） 给定滤波器的性能指标，采用几种不同的方法设计滤波器对加噪信后进行滤波，画出各滤波器的频率响应曲线，画出滤波后的时域图和频谱图。 (1. to some of the original speech signal (which can be a voice you record yourself), plus a cosine frequency of 3.8kHz frequency noise and frequency of 3.6kHz frequency sinusoidal noise (in the range that they can choose), with a window function to design a filter (requires a minimum stop band attenuation is 50dB) after adding noise to the speech signal is filtered, the filter frequency response curve to draw, draw diagrams and time-domain spectrum before and after filtering. Need to use the function: function fir1 with window function design FIR filter design 2. Using a GUI interface (Figure 1) complete the following functions: 1) an input speech signal, the speech signal in the time domain to draw graphs and spectrum 2) adding noise to the speech signal processing, draw diagrams and time-domain plus noise spectrum after 3) to set the filter performance, using several different methods designed to filter letter after adding noise filtering, draw the frequency response curve of each )

离散Hopfield神经网络的数字识别，可作为学习参考(Digital identification of discrete Hopfield neural networks can be used as a reference to learn)

说明：  机器人控制中的一些matlab计算范例2A(some examples of the matlab computing inRobot control 2A)

matlab based chpper design. boost chopper with PWM

利用Matlab分别生成OFDM信号和短波信道仿真器(OFDM signals and shortwave channel simulators are generated using Matlab respectively)